9 Data Ingestion Jobs

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As an entry level Package Consultant at IBM, you will help to assist clients in the selection, implementation, and production support of application packaged solutions, such as SAP, Oracle, Sa...

As a Data Engineering Analyst at Citi, your role will involve creating client-centric analytic solutions to business problems, owning and delivering multiple complex analytic projects, and managing stakeholders across various functions and regions. Your day-to-day responsibilities will include: - Creating client-centric analytic solutions aligned with business needs - Owning and delivering multiple complex analytic projects - Managing stakeholders across various functions and regions - Delivering high-class presentations to share solutions with business stakeholders and senior management - Managing projects by creating project plans and assigning responsibilities To excel in this role, you s...

Develop pipelines on Azure Synapse, ingestion + transformation and suitable storage structures Testing to verify that data ingestion and transformation work Work together with the current team and transfer knowledge at the same time. Develop enterprise grade pipelines (must be able to log and alert on error occurrences) - resilient and robust. Create a good mix of dedicated and parametrized pipelines and data structures - we expect more than 1000 different file formats that shall be ingested. Advice on good metadata descriptions and how to work with metadata Able to stay on scope and take responsibility for meeting milestones and deadlines Able to analyze, design, and implement components by...

As an AI Engineer at our company, you will have the exciting opportunity to work with cutting-edge technologies in data science, machine learning, and deep learning. Your role will involve building and deploying new AI products from the ground up, contributing to the development of our AI strategy, and defining the problems we aim to solve with AI. To succeed in this role, you must become an expert in building AI models and implementing them into production. **Responsibilities:** - Set up and manage the AI development and production infrastructure. - Collaborate with AI product managers and business stakeholders to explain the potential and limitations of AI for new product planning. - Devel...

KPMG Global Services KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network. As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three emplo...

12-15 Years of Exp as Data ArchitectWork with business stakeholders, analysts, and technology teams to understand data requirements, usage patterns, and strategic objectives. Assess existing data landscapes to understand current-state data flows, structures, and dependencies. Define end-to-end data architecture covering data ingestion, storage, processing, and consumption layers. Design target-state data models and data flow architectures to support analytics, reporting, and operational needs. Create and maintain data architecture diagrams, data models, and design documentation. Ensure data solutions align with enterprise architecture standards and long-term data strategy. Collaborate with e...

Location : Bangalore,Pune Experience : 5 - 8 years ( 5 yrs relevant) Notice period : Immediate to 15 days Work Mode : Hybrid ( In office mandatory) Interested candidates share resume to aishahw@hexaware.com. JD: - ob Summary: The Technical Lead will be responsible for managing day-to-day operations of the Data Platform in Azure/AWS Databricks environments. This role includes designing and implementing data ingestion pipelines, ensuring data quality and availability, optimizing performance, and maintaining system stability. The candidate will lead architectural decisions, mentor team members, and ensure compliance with security and governance standards. II. Roles & Responsibilities: Design an...

Location : Bangalore,Pune Experience : 8 - 13 years ( 8 yrs relevant) Notice period : Immediate to 15 days Work Mode : Hybrid ( In office mandatory) Interested candidates share resume to aishahw@hexaware.com. JD: - ob Summary: The Technical Lead will be responsible for managing day-to-day operations of the Data Platform in Azure/AWS Databricks environments. This role includes designing and implementing data ingestion pipelines, ensuring data quality and availability, optimizing performance, and maintaining system stability. The candidate will lead architectural decisions, mentor team members, and ensure compliance with security and governance standards. II. Roles & Responsibilities: Design a...

D365 Customer Insights (Data and Journeys) Technical Lead Location : Remote Experience : 9+ Years Responsibilities : - Lead and implement end-to-end technical solutions within D365 Customer Insights (Data and Journeys) to meet diverse client requirements, from initial design to deployment and support. - Design and configure CI data unification processes, including data ingestion pipelines, matching and merging rules, and segmentation models to create comprehensive and actionable customer profiles. - Demonstrate deep expertise in data quality management and ensuring data integrity. - Proficiency in integrating data with CI-Data using various methods, including standard connectors, API calls, ...